Youtor
Python OpenCV for Beginners Full Course Learn Computer Vision
YOUR LINK HERE:
http://youtube.com/watch?v=44xdiWLm4Xo
Welcome to this courese on OpenCV Python Tutorial For Beginners. • OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python. • it is Open Source and free. opencv is easy to use and install. • Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV. • At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science. • Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems. • #ProgrammingKnowledge #ComputerVision #OpenCV #python • 1 - Introduction to OpenCV • 2 - How to Install OpenCV for Python on Windows 10 • 3 - How to Read, Write, Show Images in OpenCV • 4 - How to Read, Write, Show Videos from Camera in OpenCV • 5 - Draw geometric shapes on images using Python OpenCV • 6 - Setting Camera Parameters in OpenCV Python • 7 - Show Date and Time on Videos using OpenCV Python • 8 - Handle Mouse Events in OpenCV • 9 - More Mouse Event Examples in OpenCV Python • 10 - cv.split, cv.merge, cv.resize, cv.add, cv.addWeighted, ROI • 11- Bitwise Operations (bitwise AND, OR, NOT and XOR) • 12 - How to Bind Trackbar To OpenCV Windows • 13 - Object Detection and Object Tracking Using HSV Color Space • 14 - Simple Image Thresholding • 15 - Adaptive Thresholding • 16 - matplotlib with OpenCV • 17 - Morphological Transformations • 18 - Smoothing Images | Blurring Images OpenCV • 19 - Image Gradients and Edge Detection • 20 - Canny Edge Detection in OpenCV • 21 - Image Pyramids with Python and OpenCV • 22 - Image Blending using Pyramids in OpenCV • 22 - Image Blending using Pyramids in OpenCV • 23 - Find and Draw Contours with OpenCV in Python • 24 - Motion Detection and Tracking Using Opencv Contours • 25 - Detect Simple Geometric Shapes using OpenCV in Python • 26 - Understanding image Histograms using OpenCV Python • 27 - Template matching using OpenCV in Python • 28 - Hough Line Transform Theory • 29 - Hough Line Transform using HoughLines method in OpenCV • 30 - Probabilistic Hough Transform using HoughLinesP in OpenCV • 31 - Road Lane Line Detection with OpenCV (Part 1) • 32 - Road Lane Line Detection with OpenCV (Part 2) • 33 - Road Lane Line Detection with OpenCV (Part 3) • 34 - Circle Detection using OpenCV Hough Circle Transform • 35 - Face Detection using Haar Cascade Classifiers • 36 - Eye Detection Haar Feature based Cascade Classifiers • 37 - Detect Corners with Harris Corner Detector in OpenCV • 38 - Detect Corners with Shi Tomasi Corner Detector in OpenCV • 39 - How to Use Background Subtraction Methods in OpenCV • 40 - Mean Shift Object Tracking • 41 - Object Tracking Camshift Method • #ProgrammingKnowledge #ComputerVision #OpenCV • Welcome to the Python OpenCV for Beginners Full Course - Learn Computer Vision! In this comprehensive course, you'll learn everything you need to know to get started with computer vision using the powerful Python OpenCV library. • Whether you're a beginner or an experienced programmer, this course will take you through the fundamental concepts and techniques of computer vision, including image processing, feature detection, object recognition, and more. You'll get hands-on experience working with real-world examples and projects, as well as plenty of coding exercises to practice your skills. • Throughout the course, you'll learn how to use Python and OpenCV to build powerful computer vision applications, such as face detection, object tracking, and image segmentation. You'll also discover how to optimize your code for performance, and how to integrate your computer vision applications with other popular tools and libraries. • So if you're ready to take your Python programming skills to the next level and start working with computer vision, this course is for you! Join us today and let's get started.
#############################
